Conference Information
WSPML 2022: International Workshop on Signal Processing and Machine Learning
https://www.wspml.org/Submission Date: |
2022-11-15 Extended |
Notification Date: |
2022-11-20 |
Conference Date: |
2022-12-16 |
Location: |
Beijing, China |
Years: |
4 |
Viewed: 9829 Tracked: 10 Attend: 3
Call For Papers
2022年第四届信号处理与机器学习国际研讨会(WSPML 2022) 重要信息 会议网址:www.wspml.org 会议时间:2022年12月2-4日 召开地点:中国北京 截稿时间:2022年10月31日 录用通知:投稿后2周内 收录检索:EI,Scopus 会议简介 ★2022年第四届信号处理与机器学习国际研讨会(WSPML 2022)---Ei Compendex&Scopus-Call for papers |2022年12月2-4日,中国北京|网址: www.wspml.org ★WSPML 2022将围绕“信号处理与机器学习”的最新研究领域而展开,为研究人员,工程师和学者,以及行业专业人士提供一个平台并介绍他们的最新的研究成果以及今后开发的活动,为参会人员们交流新的思想和应用经验建立业务或研究关系。本次会议将于2021年12月1-3日在中国北京召开,在会议期间您将有机会聆听到前沿的学术报告,见证该领域的成果与进步。 会议日程预览: 会议时间 内容 2022年12月2日 注册+接待 2022年12月3日 开幕式+KN演讲+分会场报告 2022年12月4日 分会场报告+实验室参观 关于出版和索引 所有接受的论文将在线出版,将被Ei Compendex,SCOPUS,Google Scholar,Cambridge Scientific Abstracts(CSA),Inspec, ISTP等检索,优秀论文将在国际期刊上发表。 特邀主讲人 Zaid Harchaoui教授——华盛顿大学,美国 征稿主题/会议征稿 自适应滤波与信号处理 adhoc网络与传感器网络 模拟和混合信号处理 应用(生物医学信号、生物计量学、生物信息学) 多通道自适应信号处理 阵列信号处理 人工神经网络 调制和信道编码 音频和电声学 自然语言处理 从序列中挖掘运动 音频/语音处理和编码 更多征稿主题请访问: http://www.wspml.org/cfp.htmls 参会方式 1.作者参会:一篇会议录用文章允许一名作者参会; 2.主讲嘉宾:申请主题演讲,由会务组审核; 3.口头演讲:申请口头报告,时间为15分钟; 4.海报参会:申请海报参会,根据官网模板准备海报,再录制5分钟视频; 5.视频参会:录制个人视频15分钟即可; 6.听众参会:不投稿仅参会,可参与问答,也可演讲及展示。 投稿方式 1.会议邮箱:wspml@hksra.org 2.CMT在线投稿:https://cmt3.research.microsoft.com/WSPML2022 请作者按照官网模板格式进行排版。排版好的论文全文(word+pdf版)发送至CMT在线系统或者会议邮箱。 提交摘要:即只参会做报告,不出版文章; 提交全文:即做参会做报告,并且出版文章; 听众:则不需要提交稿件,注册成功的听众可以参加会议的所有分会; 投稿要求: 1. 大会官方语言为英语,必须为全英文稿件,且应具有学术或实用价值,未在国内外学术期刊或会议发表过; 2. 保证文章原创性,未在国内外公开刊物或其它学术会议上发表过。 3. 文章篇幅一般在5-12页之间,不少于5页,含公式图表等,超过6页将收取超页费; 4. 作者可通过Turnitin或其他查询系统自费查重,重复率不得超过30%,由文章重复率引起的被拒稿将由作者自行承担责任; 5.文章录用:若您的文章被录用,我们将以邮件形式通知您,您将收到以下文件:录用通知、审稿意见表、中文注册表。 联系我们 会议秘书:谢女士 会议官网:www.wspml.org 会议邮箱:wspml@hksra.org 电话/微信同号:18108159229 QQ咨询:2011307354 WSPML solicits original, unpublished and novel papers for research publication and presentation in research track, and industry/application papers in application track. Articles in all areas of Signal Processing and Machine Learning are of interest, including the following: Adaptive Filtering & Signal Processing Ad-Hoc and Sensor Networks Analog and Mixed Signal Processing Applications (biomedical signals, biometrix, bioinformatics) Multichannel adaptive signal processing Array Signal Processing Artificial neural network (ANN) Modulation and Channel Coding Audio and Electroacoustics Natural Language Processing Mining Motion from Sequence Audio/Speech Processing and Coding Bayesian and distributed learning Bioimaging and Signal Processing Mining Images in Computer Vision Biometrics & Authentification Biosignal Processing & Understanding Multimedia Signal Processing Classification and pattern recognition Multimedia & Human-computer Interaction Classification techniques Cognitive information processing Communication and Broadband Networks Communication Signal processing Multiset data analysis Computational Intelligence Computer Vision & Virtual Reality Cryptography and Network Security Data-driven adaptive systems Data-driven models Design and Implementation of Signal Processing Systems Multimedia Communications Digital Signal Processing DSP Implementations and Embedded Systems Multimodal data fusion Emerging Technologies Extreme learning machine (ELM) Feature extractions Genomic signals and sequences Graphical models and kernel methods Hardware Implementation for Signal Processing Higher Order Spectral Analysis Image and Multidimensional Signal Processing Image Processing & Understanding Image/Video Processing and Coding Industry Technology Internet Signal Processing Kernel design Kernel methods and graphical models Learning and adaptive control Learning for Handwriting Recognition Learning in Image Pre-Processing and Segmentation Learning in process automation Learning of action patterns Learning of appropriate behavior Learning robots Learning theory Learning/adaption of recognition and perception Least-squares SVM (LS-SVM) Machine Learning for Signal Processing Machine learning methods Mining Images and Texture Network Analysis and Intrusion Detection Neural Methods Neural networks Next Generation Mobile Communications Nonlinear signal processing Optical Communications Parallel and Distributed Processing PDE for Image Processing Perceptual signal processing Radar Signal Processing Rapid Prototyping and Tools for DSP Design RF and Wireless Communications Sensor Array and Multi-channel Processing Signal Processing and Communications Education Signal Processing for Communications Signal Processing for Security Signal Processing Theory and Methods Smart Grid, games, social networks Sparsity-aware learning Subspace/manifold learning Support vector machines (SVM) Twin SVM (TWSVM)
Last updated by Dou Sun in 2022-05-22
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Full Name | Impact Factor | Publisher |
---|---|---|
IET Computer Vision | 1.087 | IET |
Signal Processing: Image Communication | 3.256 | Elsevier |
Foundations and Trends in Machine Learning | Now Publishers Inc. | |
IEEE Transactions on Signal Processing | 5.230 | IEEE |
Journal of Universal Computer Science | 0.546 | Verlag der Technischen Universitat Graz |
Statistical Methodology | Elsevier | |
Signal & Image Processing : An International Journal | AIRCC | |
Journal of Signal Processing Systems | 0.551 | Springer |
Machine Learning | 2.940 | Springer |
Image and Vision Computing | 3.860 | Elsevier |
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